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            <p>一、问题引出</p>

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          <a href="#python实现" class="md-toc-link"><p>Python实现</p>
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<h2 id="一-问题引出">一、问题引出 </h2>
<pre class="language-text">    时间            列2           列3             列4            列5            列6             列7          列8             列9
    20.000          0.000        -54.929         83.061         -7.030         74.163          0.000        110.730         19.398
    25.000          0.000        -60.151         83.541         -8.255        146.140          0.000        110.730         19.398
    30.000          0.000        -63.210         83.367         -8.397        240.145          0.000        110.730         19.398
    35.000          0.000        -62.986         82.768         -8.099        368.334          0.000        110.730         19.397
    40.000          4.087        -62.316         82.128         -7.317        532.503          0.000        110.730         19.397
    45.000         16.956        -60.887         81.681         -5.785        745.919          0.000        110.731         19.396
    50.000         30.203        -59.565         80.587         -5.316       1004.890          0.000        110.732         19.394
    55.000         43.148        -58.263         79.089         -5.499       1321.373          0.000        110.734         19.392
    60.000         58.264        -57.548         77.221         -5.904       1700.682          0.000        110.737         19.388
    65.000         76.656        -57.429         75.099         -6.463       2146.738          0.000        110.741         19.383
    70.000         95.528        -59.151         72.889         -7.126       2694.752          0.000        110.747         19.375
    75.000        114.799        -63.319         70.345         -7.979       3376.530          0.000        110.754         19.365
    80.000        131.081        -68.995         68.306         -8.680       4132.412          0.000        110.764         19.351
    85.000        143.394        -80.237         66.208         -9.821       4983.076          0.000        110.776         19.332
    90.000        164.162        -83.643         65.388         -9.600       5909.531          0.000        110.793         19.308
    95.000        196.416        -73.995         66.071         -7.925       6936.874          0.000        110.818         19.281
   100.000        228.290        -65.630         65.788         -6.605       8064.002          0.000        110.848         19.246
   105.000        260.883        -58.121         64.840         -5.495       9316.680          0.000        110.884         19.200
   110.000        294.970        -53.675         63.593         -4.894      10696.615        113.558        110.927         19.141
   115.000        330.433        -51.329         62.124         -4.654      12231.959       6407.236        110.975         19.065
</pre>
<hr>
<h2 id="python实现">Python实现 </h2>
<p>如果数据存储在一个文本文件中，可以使用Python逐列读取并导出到Excel文件。下面是一个示例代码，用于读取文本文件中的数据并将其导出到Excel文件中：</p>
<ol>
<li>创建一个示例数据文件 <code>data.txt</code>：</li>
</ol>
<pre data-role="codeBlock" data-info="plaintext" class="language-plaintext plaintext"><code>时间            长度          宽度            高度           角度            密度           厚度          深度           难度
20.000          0.000        -54.929         83.061         -7.030         74.163          0.000        110.730         19.398
25.000          0.000        -60.151         83.541         -8.255        146.140          0.000        110.730         19.398
30.000          0.000        -63.210         83.367         -8.397        240.145          0.000        110.730         19.398
35.000          0.000        -62.986         82.768         -8.099        368.334          0.000        110.730         19.397
40.000          4.087        -62.316         82.128         -7.317        532.503          0.000        110.730         19.397
45.000         16.956        -60.887         81.681         -5.785        745.919          0.000        110.731         19.396
50.000         30.203        -59.565         80.587         -5.316       1004.890          0.000        110.732         19.394
55.000         43.148        -58.263         79.089         -5.499       1321.373          0.000        110.734         19.392
60.000         58.264        -57.548         77.221         -5.904       1700.682          0.000        110.737         19.388
...
</code></pre><ol start="2">
<li>使用Python代码读取文本文件并导出到Excel文件：</li>
</ol>
<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token keyword keyword-import">import</span> pandas <span class="token keyword keyword-as">as</span> pd

<span class="token comment"># 读取数据文件</span>
file_path <span class="token operator">=</span> <span class="token string">'data.txt'</span>

<span class="token comment"># 用于存储列数据的字典</span>
data_dict <span class="token operator">=</span> <span class="token punctuation">{</span>
    <span class="token string">'飞行时'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'速度'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'z向速度'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'弹道倾角'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'弹道偏角'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'高度'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'射程'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'落点经度'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token string">'落点纬度'</span><span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span>
<span class="token punctuation">}</span>

<span class="token comment"># 读取文件内容并解析数据</span>
<span class="token keyword keyword-with">with</span> <span class="token builtin">open</span><span class="token punctuation">(</span>file_path<span class="token punctuation">,</span> <span class="token string">'r'</span><span class="token punctuation">,</span> encoding<span class="token operator">=</span><span class="token string">'utf-8'</span><span class="token punctuation">)</span> <span class="token keyword keyword-as">as</span> <span class="token builtin">file</span><span class="token punctuation">:</span>
    lines <span class="token operator">=</span> <span class="token builtin">file</span><span class="token punctuation">.</span>readlines<span class="token punctuation">(</span><span class="token punctuation">)</span>
    headers <span class="token operator">=</span> lines<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">.</span>split<span class="token punctuation">(</span><span class="token punctuation">)</span>
    <span class="token keyword keyword-for">for</span> line <span class="token keyword keyword-in">in</span> lines<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">:</span><span class="token punctuation">]</span><span class="token punctuation">:</span>
        values <span class="token operator">=</span> line<span class="token punctuation">.</span>split<span class="token punctuation">(</span><span class="token punctuation">)</span>
        <span class="token keyword keyword-for">for</span> i<span class="token punctuation">,</span> header <span class="token keyword keyword-in">in</span> <span class="token builtin">enumerate</span><span class="token punctuation">(</span>headers<span class="token punctuation">)</span><span class="token punctuation">:</span>
            data_dict<span class="token punctuation">[</span>header<span class="token punctuation">]</span><span class="token punctuation">.</span>append<span class="token punctuation">(</span><span class="token builtin">float</span><span class="token punctuation">(</span>values<span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">)</span><span class="token punctuation">)</span>

<span class="token comment"># 创建DataFrame</span>
df <span class="token operator">=</span> pd<span class="token punctuation">.</span>DataFrame<span class="token punctuation">(</span>data_dict<span class="token punctuation">)</span>

<span class="token comment"># 导出为Excel文件</span>
output_file <span class="token operator">=</span> <span class="token string">'data.xlsx'</span>
df<span class="token punctuation">.</span>to_excel<span class="token punctuation">(</span>output_file<span class="token punctuation">,</span> index<span class="token operator">=</span><span class="token boolean">False</span><span class="token punctuation">,</span> encoding<span class="token operator">=</span><span class="token string">'utf-8'</span><span class="token punctuation">)</span>

<span class="token keyword keyword-print">print</span><span class="token punctuation">(</span><span class="token string-interpolation"><span class="token string">f"数据已成功导出为 </span><span class="token interpolation"><span class="token punctuation">{</span>output_file<span class="token punctuation">}</span></span><span class="token string">"</span></span><span class="token punctuation">)</span>
</code></pre><p>将上述代码保存为 <code>export_to_excel.py</code> 并运行它。这将读取 <code>data.txt</code> 文件中的数据并将其逐列导出到一个名为 <code>data.xlsx</code> 的Excel文件中。</p>
<h3 id="python代码扩展1">Python代码扩展1 </h3>
<p>为了适应列数不固定的情况，可以在读取文件的过程中动态地创建数据字典，而不是提前定义好固定的列数。你可以在读取文件的第一行时，自动生成对应的字典键。</p>
<p>以下是改进后的Python代码，适应不确定列数的情况：</p>
<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token keyword keyword-import">import</span> pandas <span class="token keyword keyword-as">as</span> pd

<span class="token comment"># 读取文件</span>
file_path <span class="token operator">=</span> <span class="token string">'BlastUp.txt'</span>

<span class="token comment"># 打开文件并读取内容</span>
<span class="token keyword keyword-with">with</span> <span class="token builtin">open</span><span class="token punctuation">(</span>file_path<span class="token punctuation">,</span> <span class="token string">'r'</span><span class="token punctuation">,</span> encoding<span class="token operator">=</span><span class="token string">'utf-8'</span><span class="token punctuation">)</span> <span class="token keyword keyword-as">as</span> <span class="token builtin">file</span><span class="token punctuation">:</span>
    lines <span class="token operator">=</span> <span class="token builtin">file</span><span class="token punctuation">.</span>readlines<span class="token punctuation">(</span><span class="token punctuation">)</span>

<span class="token comment"># 动态生成数据字典的键</span>
headers <span class="token operator">=</span> lines<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">.</span>strip<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">.</span>split<span class="token punctuation">(</span><span class="token punctuation">)</span>
data_dict <span class="token operator">=</span> <span class="token punctuation">{</span>header<span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span> <span class="token keyword keyword-for">for</span> header <span class="token keyword keyword-in">in</span> headers<span class="token punctuation">}</span>

<span class="token comment"># 读取文件内容到字典</span>
<span class="token keyword keyword-for">for</span> line <span class="token keyword keyword-in">in</span> lines<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">:</span><span class="token punctuation">]</span><span class="token punctuation">:</span>
    values <span class="token operator">=</span> line<span class="token punctuation">.</span>strip<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">.</span>split<span class="token punctuation">(</span><span class="token punctuation">)</span>
    <span class="token keyword keyword-for">for</span> header<span class="token punctuation">,</span> value <span class="token keyword keyword-in">in</span> <span class="token builtin">zip</span><span class="token punctuation">(</span>headers<span class="token punctuation">,</span> values<span class="token punctuation">)</span><span class="token punctuation">:</span>
        data_dict<span class="token punctuation">[</span>header<span class="token punctuation">]</span><span class="token punctuation">.</span>append<span class="token punctuation">(</span>value<span class="token punctuation">)</span>

<span class="token comment"># 转换为DataFrame</span>
df <span class="token operator">=</span> pd<span class="token punctuation">.</span>DataFrame<span class="token punctuation">(</span>data_dict<span class="token punctuation">)</span>

<span class="token comment"># 将DataFrame导出为Excel文件</span>
output_file <span class="token operator">=</span> <span class="token string">'BlastUp_plus.xlsx'</span>
df<span class="token punctuation">.</span>to_excel<span class="token punctuation">(</span>output_file<span class="token punctuation">,</span> index<span class="token operator">=</span><span class="token boolean">False</span><span class="token punctuation">)</span>

<span class="token keyword keyword-print">print</span><span class="token punctuation">(</span><span class="token string-interpolation"><span class="token string">f"数据已成功导出为 </span><span class="token interpolation"><span class="token punctuation">{</span>output_file<span class="token punctuation">}</span></span><span class="token string">"</span></span><span class="token punctuation">)</span>
</code></pre><h4 id="代码解释">代码解释 </h4>
<ol>
<li><strong>读取文件</strong>：读取文件的所有行，第一行作为表头。</li>
<li><strong>动态生成数据字典的键</strong>：从第一行中提取列名并动态生成数据字典。</li>
<li><strong>填充数据字典</strong>：逐行读取数据，并将每个值添加到对应的列中。</li>
<li><strong>转换为DataFrame</strong>：将数据字典转换为Pandas DataFrame。</li>
<li><strong>导出为Excel</strong>：将DataFrame导出为Excel文件。</li>
</ol>
<p><strong>假设你的输入文件 <code>data.txt</code> 如下：</strong></p>
<pre data-role="codeBlock" data-info="" class="language-text"><code>飞行时 速度 z向速度 弹道倾角 弹道偏角 高度 射程 落点经度 落点纬度 额外列1 额外列2
10 300 20 5 3 1000 200 50 40 额外值1 额外值2
20 320 18 4 2 1050 220 52 42 额外值3 额外值4
</code></pre><p>运行上述Python代码，输出的 <code>data.xlsx</code> 文件将包含所有列及其对应的数据。</p>
<p>确保你使用的编码与文件的实际编码相匹配。只需要指定文件编码即可。这样代码就可以直接运行，并且会正确读取文件内容并导出为Excel文件。如果你的文件编码不是 <code>utf-8</code>，请根据实际情况调整编码格式：</p>
<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token keyword keyword-with">with</span> <span class="token builtin">open</span><span class="token punctuation">(</span>file_path<span class="token punctuation">,</span> <span class="token string">'r'</span><span class="token punctuation">,</span> encoding<span class="token operator">=</span><span class="token string">'gbk'</span><span class="token punctuation">)</span> <span class="token keyword keyword-as">as</span> <span class="token builtin">file</span><span class="token punctuation">:</span>
</code></pre><p>或者：</p>
<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token keyword keyword-with">with</span> <span class="token builtin">open</span><span class="token punctuation">(</span>file_path<span class="token punctuation">,</span> <span class="token string">'r'</span><span class="token punctuation">,</span> encoding<span class="token operator">=</span><span class="token string">'latin1'</span><span class="token punctuation">)</span> <span class="token keyword keyword-as">as</span> <span class="token builtin">file</span><span class="token punctuation">:</span>
</code></pre><h3 id="python代码扩展2">Python代码扩展2 </h3>
<p>这是因为在读取文本文件时，所有数据默认都是字符串类型。为了将数字正确转换为数值类型，可以在构建 <code>DataFrame</code> 后进行数据类型转换。你可以使用 <code>pandas</code> 提供的 <code>pd.to_numeric</code> 函数进行转换。以下是更新后的代码：</p>
<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token keyword keyword-import">import</span> pandas <span class="token keyword keyword-as">as</span> pd

<span class="token comment"># 读取文件</span>
file_path <span class="token operator">=</span> <span class="token string">'BlastUp.txt'</span>

<span class="token comment"># 打开文件并读取内容</span>
<span class="token keyword keyword-with">with</span> <span class="token builtin">open</span><span class="token punctuation">(</span>file_path<span class="token punctuation">,</span> <span class="token string">'r'</span><span class="token punctuation">,</span> encoding<span class="token operator">=</span><span class="token string">'utf-8'</span><span class="token punctuation">)</span> <span class="token keyword keyword-as">as</span> <span class="token builtin">file</span><span class="token punctuation">:</span>
    lines <span class="token operator">=</span> <span class="token builtin">file</span><span class="token punctuation">.</span>readlines<span class="token punctuation">(</span><span class="token punctuation">)</span>

<span class="token comment"># 动态生成数据字典的键</span>
headers <span class="token operator">=</span> lines<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">.</span>strip<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">.</span>split<span class="token punctuation">(</span><span class="token punctuation">)</span>
data_dict <span class="token operator">=</span> <span class="token punctuation">{</span>header<span class="token punctuation">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span> <span class="token keyword keyword-for">for</span> header <span class="token keyword keyword-in">in</span> headers<span class="token punctuation">}</span>

<span class="token comment"># 读取文件内容到字典</span>
<span class="token keyword keyword-for">for</span> line <span class="token keyword keyword-in">in</span> lines<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">:</span><span class="token punctuation">]</span><span class="token punctuation">:</span>
    values <span class="token operator">=</span> line<span class="token punctuation">.</span>strip<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">.</span>split<span class="token punctuation">(</span><span class="token punctuation">)</span>
    <span class="token keyword keyword-for">for</span> header<span class="token punctuation">,</span> value <span class="token keyword keyword-in">in</span> <span class="token builtin">zip</span><span class="token punctuation">(</span>headers<span class="token punctuation">,</span> values<span class="token punctuation">)</span><span class="token punctuation">:</span>
        data_dict<span class="token punctuation">[</span>header<span class="token punctuation">]</span><span class="token punctuation">.</span>append<span class="token punctuation">(</span>value<span class="token punctuation">)</span>

<span class="token comment"># 转换为DataFrame</span>
df <span class="token operator">=</span> pd<span class="token punctuation">.</span>DataFrame<span class="token punctuation">(</span>data_dict<span class="token punctuation">)</span>

<span class="token comment"># 将DataFrame中的列转换为适当的数值类型</span>
<span class="token keyword keyword-for">for</span> column <span class="token keyword keyword-in">in</span> df<span class="token punctuation">.</span>columns<span class="token punctuation">:</span>
    df<span class="token punctuation">[</span>column<span class="token punctuation">]</span> <span class="token operator">=</span> pd<span class="token punctuation">.</span>to_numeric<span class="token punctuation">(</span>df<span class="token punctuation">[</span>column<span class="token punctuation">]</span><span class="token punctuation">,</span> errors<span class="token operator">=</span><span class="token string">'ignore'</span><span class="token punctuation">)</span>

<span class="token comment"># 将DataFrame导出为Excel文件</span>
output_file <span class="token operator">=</span> <span class="token string">'BlastUp_plus.xlsx'</span>
df<span class="token punctuation">.</span>to_excel<span class="token punctuation">(</span>output_file<span class="token punctuation">,</span> index<span class="token operator">=</span><span class="token boolean">False</span><span class="token punctuation">)</span>

<span class="token keyword keyword-print">print</span><span class="token punctuation">(</span><span class="token string-interpolation"><span class="token string">f"数据已成功导出为 </span><span class="token interpolation"><span class="token punctuation">{</span>output_file<span class="token punctuation">}</span></span><span class="token string">"</span></span><span class="token punctuation">)</span>
</code></pre><p>在这个代码中，<code>pd.to_numeric</code> 函数会尝试将每一列转换为数值类型。<code>errors='ignore'</code> 参数确保如果某些值无法转换（例如纯文本列），它们会保留为原始字符串类型。这样，数值列会被正确识别并存储为数值格式，而非文本格式。</p>
<hr>
<h2 id="java实现">Java实现 </h2>
<p>也可以使用Java来读取文本文件并将其数据导出到Excel文件中。以下是一个示例Java代码，用于实现这个功能：</p>
<ol>
<li>创建一个示例数据文件 <code>data.txt</code>：</li>
</ol>
<pre data-role="codeBlock" data-info="plaintext" class="language-plaintext plaintext"><code>飞行时            速度          z向速度         弹道倾角         弹道偏角            高度           射程         落点经度         落点纬度
20.000          0.000        -54.929         83.061         -7.030         74.163          0.000        110.730         19.398
25.000          0.000        -60.151         83.541         -8.255        146.140          0.000        110.730         19.398
30.000          0.000        -63.210         83.367         -8.397        240.145          0.000        110.730         19.398
35.000          0.000        -62.986         82.768         -8.099        368.334          0.000        110.730         19.397
40.000          4.087        -62.316         82.128         -7.317        532.503          0.000        110.730         19.397
45.000         16.956        -60.887         81.681         -5.785        745.919          0.000        110.731         19.396
50.000         30.203        -59.565         80.587         -5.316       1004.890          0.000        110.732         19.394
55.000         43.148        -58.263         79.089         -5.499       1321.373          0.000        110.734         19.392
60.000         58.264        -57.548         77.221         -5.904       1700.682          0.000        110.737         19.388
...
</code></pre><ol start="2">
<li>使用Java代码读取文本文件并导出到Excel文件：</li>
</ol>
<p>首先，你需要添加Apache POI库来处理Excel文件。你可以在项目中添加以下Maven依赖项（如果你使用Maven）：</p>
<pre data-role="codeBlock" data-info="xml" class="language-xml xml"><code><span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>dependency</span><span class="token punctuation">&gt;</span></span>
    <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>groupId</span><span class="token punctuation">&gt;</span></span>org.apache.poi<span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>groupId</span><span class="token punctuation">&gt;</span></span>
    <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>artifactId</span><span class="token punctuation">&gt;</span></span>poi-ooxml<span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>artifactId</span><span class="token punctuation">&gt;</span></span>
    <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>version</span><span class="token punctuation">&gt;</span></span>5.2.3<span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>version</span><span class="token punctuation">&gt;</span></span>
<span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>dependency</span><span class="token punctuation">&gt;</span></span>
</code></pre><p>然后，使用以下Java代码：</p>
<pre data-role="codeBlock" data-info="java" class="language-java java"><code><span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">org<span class="token punctuation">.</span>apache<span class="token punctuation">.</span>poi<span class="token punctuation">.</span>ss<span class="token punctuation">.</span>usermodel<span class="token punctuation">.</span></span><span class="token operator">*</span></span><span class="token punctuation">;</span>
<span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">org<span class="token punctuation">.</span>apache<span class="token punctuation">.</span>poi<span class="token punctuation">.</span>xssf<span class="token punctuation">.</span>usermodel<span class="token punctuation">.</span></span><span class="token class-name">XSSFWorkbook</span></span><span class="token punctuation">;</span>

<span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">java<span class="token punctuation">.</span>io<span class="token punctuation">.</span></span><span class="token class-name">BufferedReader</span></span><span class="token punctuation">;</span>
<span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">java<span class="token punctuation">.</span>io<span class="token punctuation">.</span></span><span class="token class-name">FileReader</span></span><span class="token punctuation">;</span>
<span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">java<span class="token punctuation">.</span>io<span class="token punctuation">.</span></span><span class="token class-name">FileOutputStream</span></span><span class="token punctuation">;</span>
<span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">java<span class="token punctuation">.</span>io<span class="token punctuation">.</span></span><span class="token class-name">IOException</span></span><span class="token punctuation">;</span>
<span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">java<span class="token punctuation">.</span>util<span class="token punctuation">.</span></span><span class="token class-name">ArrayList</span></span><span class="token punctuation">;</span>
<span class="token keyword keyword-import">import</span> <span class="token import"><span class="token namespace">java<span class="token punctuation">.</span>util<span class="token punctuation">.</span></span><span class="token class-name">List</span></span><span class="token punctuation">;</span>

<span class="token keyword keyword-public">public</span> <span class="token keyword keyword-class">class</span> <span class="token class-name">ExportToExcel</span> <span class="token punctuation">{</span>
    <span class="token keyword keyword-public">public</span> <span class="token keyword keyword-static">static</span> <span class="token keyword keyword-void">void</span> <span class="token function">main</span><span class="token punctuation">(</span><span class="token class-name">String</span><span class="token punctuation">[</span><span class="token punctuation">]</span> args<span class="token punctuation">)</span> <span class="token punctuation">{</span>
        <span class="token class-name">String</span> inputFilePath <span class="token operator">=</span> <span class="token string">"data.txt"</span><span class="token punctuation">;</span>
        <span class="token class-name">String</span> outputFilePath <span class="token operator">=</span> <span class="token string">"data.xlsx"</span><span class="token punctuation">;</span>

        <span class="token keyword keyword-try">try</span> <span class="token punctuation">(</span><span class="token class-name">BufferedReader</span> br <span class="token operator">=</span> <span class="token keyword keyword-new">new</span> <span class="token class-name">BufferedReader</span><span class="token punctuation">(</span><span class="token keyword keyword-new">new</span> <span class="token class-name">FileReader</span><span class="token punctuation">(</span>inputFilePath<span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">)</span> <span class="token punctuation">{</span>
            <span class="token class-name">String</span> line<span class="token punctuation">;</span>
            <span class="token class-name">List</span><span class="token operator">&lt;</span><span class="token class-name">String</span><span class="token punctuation">[</span><span class="token punctuation">]</span><span class="token operator">&gt;</span> data <span class="token operator">=</span> <span class="token keyword keyword-new">new</span> <span class="token class-name">ArrayList</span><span class="token generics"><span class="token punctuation">&lt;</span><span class="token punctuation">&gt;</span></span><span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">;</span>

            <span class="token keyword keyword-while">while</span> <span class="token punctuation">(</span><span class="token punctuation">(</span>line <span class="token operator">=</span> br<span class="token punctuation">.</span><span class="token function">readLine</span><span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span> <span class="token operator">!=</span> <span class="token keyword keyword-null">null</span><span class="token punctuation">)</span> <span class="token punctuation">{</span>
                <span class="token comment">// 分割行，假设以空格分隔</span>
                <span class="token class-name">String</span><span class="token punctuation">[</span><span class="token punctuation">]</span> values <span class="token operator">=</span> line<span class="token punctuation">.</span><span class="token function">trim</span><span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">.</span><span class="token function">split</span><span class="token punctuation">(</span><span class="token string">"\\s+"</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
                data<span class="token punctuation">.</span><span class="token function">add</span><span class="token punctuation">(</span>values<span class="token punctuation">)</span><span class="token punctuation">;</span>
            <span class="token punctuation">}</span>

            <span class="token comment">// 创建一个新的工作簿</span>
            <span class="token class-name">Workbook</span> workbook <span class="token operator">=</span> <span class="token keyword keyword-new">new</span> <span class="token class-name">XSSFWorkbook</span><span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
            <span class="token class-name">Sheet</span> sheet <span class="token operator">=</span> workbook<span class="token punctuation">.</span><span class="token function">createSheet</span><span class="token punctuation">(</span><span class="token string">"Sheet1"</span><span class="token punctuation">)</span><span class="token punctuation">;</span>

            <span class="token comment">// 创建表头</span>
            <span class="token class-name">Row</span> headerRow <span class="token operator">=</span> sheet<span class="token punctuation">.</span><span class="token function">createRow</span><span class="token punctuation">(</span><span class="token number">0</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
            <span class="token keyword keyword-for">for</span> <span class="token punctuation">(</span><span class="token keyword keyword-int">int</span> i <span class="token operator">=</span> <span class="token number">0</span><span class="token punctuation">;</span> i <span class="token operator">&lt;</span> data<span class="token punctuation">.</span><span class="token function">get</span><span class="token punctuation">(</span><span class="token number">0</span><span class="token punctuation">)</span><span class="token punctuation">.</span>length<span class="token punctuation">;</span> i<span class="token operator">++</span><span class="token punctuation">)</span> <span class="token punctuation">{</span>
                <span class="token class-name">Cell</span> cell <span class="token operator">=</span> headerRow<span class="token punctuation">.</span><span class="token function">createCell</span><span class="token punctuation">(</span>i<span class="token punctuation">)</span><span class="token punctuation">;</span>
                cell<span class="token punctuation">.</span><span class="token function">setCellValue</span><span class="token punctuation">(</span>data<span class="token punctuation">.</span><span class="token function">get</span><span class="token punctuation">(</span><span class="token number">0</span><span class="token punctuation">)</span><span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
            <span class="token punctuation">}</span>

            <span class="token comment">// 填充数据</span>
            <span class="token keyword keyword-for">for</span> <span class="token punctuation">(</span><span class="token keyword keyword-int">int</span> i <span class="token operator">=</span> <span class="token number">1</span><span class="token punctuation">;</span> i <span class="token operator">&lt;</span> data<span class="token punctuation">.</span><span class="token function">size</span><span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">;</span> i<span class="token operator">++</span><span class="token punctuation">)</span> <span class="token punctuation">{</span>
                <span class="token class-name">Row</span> row <span class="token operator">=</span> sheet<span class="token punctuation">.</span><span class="token function">createRow</span><span class="token punctuation">(</span>i<span class="token punctuation">)</span><span class="token punctuation">;</span>
                <span class="token keyword keyword-for">for</span> <span class="token punctuation">(</span><span class="token keyword keyword-int">int</span> j <span class="token operator">=</span> <span class="token number">0</span><span class="token punctuation">;</span> j <span class="token operator">&lt;</span> data<span class="token punctuation">.</span><span class="token function">get</span><span class="token punctuation">(</span>i<span class="token punctuation">)</span><span class="token punctuation">.</span>length<span class="token punctuation">;</span> j<span class="token operator">++</span><span class="token punctuation">)</span> <span class="token punctuation">{</span>
                    <span class="token class-name">Cell</span> cell <span class="token operator">=</span> row<span class="token punctuation">.</span><span class="token function">createCell</span><span class="token punctuation">(</span>j<span class="token punctuation">)</span><span class="token punctuation">;</span>
                    cell<span class="token punctuation">.</span><span class="token function">setCellValue</span><span class="token punctuation">(</span><span class="token class-name">Double</span><span class="token punctuation">.</span><span class="token function">parseDouble</span><span class="token punctuation">(</span>data<span class="token punctuation">.</span><span class="token function">get</span><span class="token punctuation">(</span>i<span class="token punctuation">)</span><span class="token punctuation">[</span>j<span class="token punctuation">]</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
                <span class="token punctuation">}</span>
            <span class="token punctuation">}</span>

            <span class="token comment">// 写入Excel文件</span>
            <span class="token keyword keyword-try">try</span> <span class="token punctuation">(</span><span class="token class-name">FileOutputStream</span> fos <span class="token operator">=</span> <span class="token keyword keyword-new">new</span> <span class="token class-name">FileOutputStream</span><span class="token punctuation">(</span>outputFilePath<span class="token punctuation">)</span><span class="token punctuation">)</span> <span class="token punctuation">{</span>
                workbook<span class="token punctuation">.</span><span class="token function">write</span><span class="token punctuation">(</span>fos<span class="token punctuation">)</span><span class="token punctuation">;</span>
            <span class="token punctuation">}</span>

            workbook<span class="token punctuation">.</span><span class="token function">close</span><span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
            <span class="token class-name">System</span><span class="token punctuation">.</span>out<span class="token punctuation">.</span><span class="token function">println</span><span class="token punctuation">(</span><span class="token string">"数据已成功导出为 "</span> <span class="token operator">+</span> outputFilePath<span class="token punctuation">)</span><span class="token punctuation">;</span>
        <span class="token punctuation">}</span> <span class="token keyword keyword-catch">catch</span> <span class="token punctuation">(</span><span class="token class-name">IOException</span> e<span class="token punctuation">)</span> <span class="token punctuation">{</span>
            e<span class="token punctuation">.</span><span class="token function">printStackTrace</span><span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
        <span class="token punctuation">}</span>
    <span class="token punctuation">}</span>
<span class="token punctuation">}</span>
</code></pre><p>这段代码读取 <code>data.txt</code> 文件，将其内容解析为表格数据，并导出到一个名为 <code>data.xlsx</code> 的Excel文件中。注意，代码假设数据是以空格分隔的，并且数据的第一行为表头。如果实际数据格式不同，你可能需要根据实际情况调整代码。</p>

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